Acoustic Complexity Index (ACI)
Benchmark Value
Scoring Curve
This curve shows how a field measurement for this indicator would score across all available benchmark forms in this context.
Evidence & Context
The benchmark for "best available condition" in a temperate semi-arid grazing system is derived from the ACI values recorded in the "mid-dense open forest" during the spring dawn chorus, yielding a provisional benchmark range of 1650 - 1750.
Acoustic Complexity Index (ACI) is a mathematical algorithm that summarizes audio data into a numerical value representing the complexity of biotic sounds in a soundscape.
ACI measures the temporal variability and complexity of biophony, reflecting the acoustic complexity of the ecosystem in temperate semi-arid grazing woodlands.
The benchmark is derived from a proxy study in a structurally complex Australian open forest, representing an aspirational target for best available condition in a regeneratively managed semi-arid grazing landscape. Confidence is low due to proxy nature and absence of direct field data.
Sources (1)
USING ECOACOUSTIC MONITORING OF BIODIVERSITY TO INFORM URBAN DEVELOPMENT IN PERI-URBAN SETTINGS
View SourceSupporting Sources (2)
Additional references from the underlying research that informed this benchmark.
TERN Landscapes - Terrestrial Ecosystem Research Network, accessed May 17, 2025,
View SourceTable of Contents - QUT ePrints, accessed July 17, 2025
View Source